For more information on venue address, reach out to "info@leadflake.com"
Starting at GBP 517
Thu, 18 Dec, 2025 at 09:00 am - Thu, 18 Jun, 2026 at 05:00 pm (GMT+00:00)
For more information on venue address, reach out to "info@leadflake.com"
Ph No: +1 469 666 9332, Cambridge, United Kingdom
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview:
This Vertex AI course offers a deep dive into Google's unified platform for building and managing machine learning and generative AI models. You’ll explore the end-to-end ML lifecycle—from data preparation to model deployment—using AutoML and custom training options. Through hands-on projects, real-world examples, and expert guidance, you’ll learn to accelerate AI development with scalable cloud solutions.
Learning Objectives:
By the end of this course, you will:
Target Audience:
Why is it right fit for you:
Google's Vertex AI consolidates the full lifecycle of machine learning into one intuitive platform—and this course helps you unlock its full potential. Whether you're creating fast prototypes or scaling enterprise-grade AI systems, you’ll gain the hands-on skills and practical insights needed to innovate efficiently. Our instructors provide cloud-native best practices that bridge the gap between development and production, enabling you to build AI solutions that deliver measurable business value.
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Looking to empower your whole team with cloud AI skills?
We offer in-house training sessions that are fully customizable to your industry, tech stack, and project needs. Want to train your data teams on lifelike generative AI or streamline your MLOps workflow? Let us tailor a hands-on program that accelerates innovation within your organization..
📧 Contact us today to schedule a customized in-house session: aW5mbyB8IGxlYWRmbGFrZSAhIGNvbQ==
Info: • What is Vertex AI and why it matters
• Key components and capabilities
• Vertex AI vs other ML platforms
• Walkthrough: Vertex AI dashboard
Info: • Importing and labeling datasets
• Preparing structured and unstructured data
• Managing data in Google Cloud Storage
• Exercise
Info: • When to use AutoML vs custom models
• Creating and training AutoML models
• Use cases: image, text, tabular data
• Activity
Info: • Notebook environments and custom code
• Training jobs and resource configuration
• Model registry and versioning
• Training
Info: • Performance metrics and evaluation tools
• Model explainability features in Vertex AI
• Debugging ML pipelines
• Case study
Info: • Introduction to MLOps on GCP
• Pipelines, CI/CD, and workflow automation
• Artifact management and monitoring
• Activity
Info: • Deployment options: online & batch predictions
• Autoscaling and A/B testing setups
• Monitoring model drift and performance
• Exercise
Info: • Using pre-built generative AI models
• Fine-tuning with your own data
• Use cases: chatbots, content generation, search
• Hands-on activity
Info: • AI across industries: retail, healthcare, finance
• Governance and ethical AI considerations
• Cost optimization strategies on GCP
• Group discussion
Also check out other Workshops in Cambridge.
Tickets for Vertex AI: 1 Day Foundations Course in Cambridge can be booked here.
| Ticket type | Ticket price |
|---|---|
| Group Registration Fee | 517 GBP |
| Early Bird Fee | 575 GBP |
| Standard Fee | 683 GBP |